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Show Business and Economics Data Processing Program: Data Processing Minor I. General Requirements: A. A grade of C or better in minor courses. II. Specific Requirements: A. Minimum of 21 credit hours in Data Processing courses. B. Data Processing courses required (14 credit hours): Data Processing 101 (4), 160 (3); 120 (3) or 140 (3) or 250 (3) or 260 (3); 305 (4). C. Data Processing courses to elect from (seven credit hours): Data Processing 340 (2), 350 (3), 370 (3), 380 (3), 390 (3), 430 (3), 450 (4), 470 (4), 499 (2). Program: Data ProcessingAssociate of Science Degree I. General Requirements: A. Specific course requirements of the college (see index). The state requirement in American History, Government, and Economics does not need to be completed. B. General Education requirements (see index). Exceptionnine hours in the Social Science area. C. An overall G. P. A. of 2.00 or C is required. D. 93 total hours are required. II. Specific Requirements: A. Minimum of 52 credit hours. B. Data Processing courses required (31 credit hours): Data Processing 101 (4), 120 (3), 160 (3), 190 (4); 140 (3) or 250 (3), or 260 (3); 201 (3), 210 (4), 280 (3), 305 (4). C. Support courses required: Accounting 102 (4), 202 (4), 310 (4); Office Administration 325 (4); Mathematics 105 (5). Program: Data ProcessingCertificate of Completion I. General Requirements: A. Specific course requirements of the college (see index). The state requirement in American History, Government, and Economics does not need to be completed. B. A minimum of 20 credit hours of General Education electives, including Mathematics 105 (see index). C. An overall G. P. A. of 2.00 or C is required. D. 93 total hours are required. II. Specific Requirements: A. Minimum of 47 credit hours. B. Data Processing courses required (31 credit hours): Data Processing 101 (4), 120 (3), 160 (3), 190 (4); 140 (3) or 250 (3), or 260 (3); 201 (3), 210 (4), 280 (3), 305 (4). C. Support courses required: Accounting 102 (4), 202 (4), 310 (4): Office Administration 325 (4). 90 Business and Economics Data Processing DATA PROCESSING COURSES 101. Concepts and Applications of Data Processing; (4) A general course designed to develop an appreciation and understanding of computer capabilities. Designed for the student having no prior data processing experience. A W S 120. R.P.G. Programming (3) Basic computer programming concepts and development techniques. Program development and problem solution using IBM Report Program Generator. Oriented to commercial data processing problems. Prerequisite: .Data Processing 101, or permission of instructor. Two lectures and 2 hours of lab a week. W S 140. Fortran IV Programming for Business (3) Application of the FORTRAN IV computer programming language for the solution of business problems using the computer. Prerequisites: Data Processing 101 and Math 10.5. Three lectures. A S 160. COBOL Programming (3) Introduction to COBOL programming language. Program development techniques oriented to commercial data processing problems. Prerequisites: Data Processing 101 or permission of instructor. Two lecture and 2 hours of lab a week. A W 190. Computer Architecture (4) A fundamental course designed to explore the specific physical and functional characteristics of computer memories and storage devices, control units, arithmetic and logic units, and input' output devices. Prerequisite: Data Processing 101 and one Programming Language. Four lectures. A W 201. Direct Access Storage Devices and File Design Concepts (3) The structure and function of direct access storage devices and the techniques of file design and organization. Prerequisite: Data Processing 190. A W 210. Operating Systems (4) An applied course in the concepts, techniques, and use of operating systems involving jolt management, task management, and data management for computers with multiprocessing capabilities. Prerequisites : Data Processing 190 and 201. Three, lectures and 2 hours of lab a week. W 250. PL/1 Programming (3) Applied concepts of programming computers with the PL/1 programming language. Prerequisites: Math 105, Data Processing 101 and one of Data Processing 140, 160, or 200. Two lectures and 2 hours of lab a week. W 260. FORTRAN IV Programming for the Sciences (3) Applied concepts of scientific programming with the FORTRAN IV Programming language. Prerequisite: Math 107. Two lectures and 2 hours of lab a week. A W S 280. Introduction to Assembler Language Programming (4) Basic concepts of computer programming with the TBM S/300-370 Assembler language. Prerequisite: Data Processing 190. Three lectures and 2 hours of lab a week. W S 292. Short Courses, Workshops, Institutes and Special Programs (1-6) In order to provide flexibility and to meet many different needs, a number of specific offerings are possible using this catalog number. When the number is used it will be accompanied by a brief and specific descriptive title. The specific title with the credit authorized for the particular offering will appear on the student transcript. A W S Su 301. Data Processing for Teachers of Secondary Education (5) A course designed to instruct secondary education teachers in the concepts of data flow, program logic and data processing applied to electronic data processing equipment, and methods of teaching equipment, anil methods of teaching data processing. Credit cannot be applied toward the major or minor in .Data Processing. Su 305. Systems Design (4) Data Processing systems development, design, and management procedures. Development and design of systems and procedures for commercial data processing. Prerequisites: Data Processing 101 and a programming language. A S 340. Computer Systems (2) An in-depth study for comparison and evaluation of the various types of computer equipment and services. Prerequisite: Data Processing 305. Two lectures. W 350. Intermediate COBOL Programming (3) Computer programming of a commercial data processing application. Sophisticated COBOL Programming techniques and modular programming. Prerequsites: Data Processing 160 and 201. Two lectures and 2 hours of lab a week. S 370. Data Communications System (3) Concepts and network organization for teleprocessing and communication. Prerequisites: Data Processing 201, 305 and Economics 350. Two lectures and 2 hours of lab a week. W 380. Advanced Assembler Language with DASD (3) Advanced concepts of programming with IBM 300/370 Assembler Language. Advanced Techniques in Assembler Language Programming with Direct Access Devices. Prerequisites: Data Processing 210 and 280. Two lectures and 2 hours of lab a week. A S 390. Utility Programs and Macro Writing (3) A course designed to give the student experience with utility type programs and applied concepts of writing MACRO instructions for the IBM 300/370. Prerequisite: Data Processing 380. Two lectures and 2 hours of lab a week. W 430. Advanced Fortran (3) Fortan IV programming and modular programming utilizing sophisticated logic and techniques. Prerequisites: Math 107, upper-division statistics, either Data Processing 140 or 260, and Data Processing 201. Two lectures and 2 hours of lab a week. A 450. Advanced Systems Concepts and Analysis (4) The conduct of the feasibility study, systems analysis and design, computer systems and their selections, the implementation of the systemand the monitoring of its performance. Prerequisites: Data Processing 210, 305, and Economics 350. S 470. Advanced Programming and Problem-Solving Techniques (4) Advanced program organization coding and logic techniques. Prerequisite: Data Processing 380. Three lectures and 2 hours of lab a week. S 180. Individual Projects and Research (2-5) The purpose of this course is to permit Senior Data Processing Majors only, to propose to the faculty for approval an individual project, pro- 91 |
